Math 110, Linear Algebra, Fall 2013

Homework  |  Syllabus  |  Useful Resources

Piazza Q & A


Instructor: David Nadler

Office Hours: Tuesdays 12:30-2pm, 740 Evans Hall, or by appointment.


GSIs


Lectures: Tuesdays and Thursdays 8:00-9:30am, 2050 Valley LSB.

Discussion sections: Wednesdays, see Times and Places


Course Control Number: 54180


Prerequisites: Math 54 or equivalent preparation in linear algebra.


Required text: Axler, Linear Algebra Done Right, second edition, Springer, 2nd edition (1997).


Grading policy: Based on homework (20%), in-class midterm (30%), and final exam (50%).


Exams

In-class midterm during lecture meeting: Thursday, October 24, 2013, Material: TBA

Practice midterm.

Practice midterm solutions.

Midterm.

Midterm solutions.

Final Exam: Wednesday, December 18, 2013, 3-6pm (Exam Group 11), in RSF Fieldhouse.

Practice final.

Practice final solutions.

Final.

Final solutions.


Course policies

Academic honesty: You are expected to rely on your own knowledge and ability, and not use unauthorized materials or represent the work of others as your own. Protect your integrity and follow the honor code: "As a member of the UC Berkeley community, I act with honesty, integrity, and respect for others."

There will be no make-up exams. No late homework will be accepted.

Grades of Incomplete will be granted only for dire medical or personal emergencies that cause you to miss the final, and only if your work up to that point has been satisfactory.


Homework

Homework is due Wednesdays. Please follow your individual GSI's instructions as to where to turn it in.

You are encouraged to discuss ideas with other students. However, you must write and hand in your solutions independently.

Each week, two selected problems from the homework assignment will be graded. Solutions to all problems will be posted.

When calculating grades, we will drop your two lowest homework scores and use only your remaining scores.


  1. Due Wednesday, September 4, 2013.

    Chapter 1: problems 1, 3, 4, 6, 7, 8, 9, 13, 14, 15.
    Additional problem: Find all subspaces of R^2. Be sure to justify your answer.

    HW #1 solutions.

  2. Due Wednesday, September 11, 2013.

    Chapter 2: problems 3, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16.
    Additional problem: Suppose that W_1 and W_2 are subspaces of V and have basis sets B_1 and B_2 respectively. Suppose also that V is the direct sum of W_1 and W_2. Prove that the union of B_1 and B_2 is a basis for V.

    HW #2 solutions.

  3. Due Wednesday, September 18, 2013.

    Chapter 3: problems 1, 2, 3, 4, 5, 7, 8, 9, 10, 11.
    Additional problem: Suppose that V is the direct sum of subspaces U_1 and U_2. Show that for W any vector space, L(U_1, W) and L(U_2, W) are naturally isomorphic to subspaces of L(V, W) and it is a direct sum of them.

    HW #3 solutions.

  4. Due Wednesday, September 25, 2013.

    Chapter 3: problems 12, 13, 14, 15, 16, 20, 22, 23, 24, 25, 26.
    Additional problem: When does a 2x2 matrix with real entries give an isomorphism from R^2 to itself? Be sure to justify your answer.

    HW #4 solutions.

  5. Due Wednesday, October 2, 2013.

    Chapter 4: problems 1, 2, 3, 4, 5.
    Additional problem: 1) Let V be a vector space over the complex numbers. Show that V is naturally a vector space over the real numbers by forgetting the possibility of scaling by imaginary numbers. 2) Suppose v_1, ..., v_n is a basis for V as a vector space over the complex numbers. Show that v_1, iv_1, ..., v_n, iv_n is a basis for V over the real numbers. 3) Calculate the matrix of the linear transformation T:V--->V given by scaling by 1+i with respect to the basis v_1, iv_1, ..., v_n, iv_n.

    HW #5 solutions.

  6. Due Wednesday, October 9, 2013.

    Chapter 5: problems 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12.

    HW #6 solutions.

  7. Due Wednesday, October 16, 2013.

    Chapter 5: problems 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24.

    HW #7 solutions.

  8. Due Wednesday, October 30, 2013.

    Chapter 6: problems 1, 2, 3, 4, 5, 6, 7.

    HW #8 solutions.

  9. Due Wednesday, November 6, 2013.

    Chapter 6: problems 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20.

    HW #9 solutions.

  10. Due Wednesday, November 13, 2013.

    Chapter 6: problems 21, 22, 26, 27, 28, 29, 30, 31, 32.

    HW #10 solutions.

  11. Due Wednesday, November 20, 2013.

    Chapter 7: problems 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11.

    HW #11 solutions.

  12. Due Wednesday, November 27, 2013.

    Chapter 8: problems 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13.

    HW #12 solutions.

  13. Due Wednesday, December 4, 2013.

    Chapter 8: problems 14, 15, 16, 17, 21, 22, 23, 24, 25, 26, 27, 28.

    HW #13 solutions.


Syllabus

  1. Vector spaces.
  2. Subspaces. Intersection, sum. Direct sum.
  3. Span, linear independence, and bases.
  4. Dimension of a finite-dimensional vector space.
  5. Linear maps.
  6. Nullspace, range and rank of a linear map.
  7. Matrix of a linear map.
  8. Invertible linear maps.
  9. Eigenvalues and eigenvectors.
  10. Inner product spaces.
  11. Orthonormal bases and the Gram-Schmidt procedure.
  12. Orthogonal projections; applications.
  13. Adjoints.
  14. Self-adjoint and normal operators; spectral theorem.
  15. Operators on complex vector spaces.
  16. Characteristic polynomials and minimal polynomial.
  17. Jordan form.

Useful Resources

Some previous Math 110 course home pages:

Some previous Math 110 exams:

George Bergman's notes:

Online lectures: Other texts: